Literature DB >> 32501812

The Effect of Prenatal Treatments on Offspring Events in the Presence of Competing Events: An Application to a Randomized Trial of Fertility Therapies.

Yu-Han Chiu1,2, Mats J Stensrud1, Issa J Dahabreh1,3,4, Paolo Rinaudo5, Michael P Diamond6, John Hsu2,7, Sonia Hernández-Díaz1, Miguel A Hernán1,8,9.   

Abstract

When studying the effect of a prenatal treatment on events in the offspring, failure to produce a live birth is a competing event for events in the offspring. A common approach to handle this competing event is reporting both the treatment-specific probabilities of live births and of the event of interest among live births. However, when the treatment affects the competing event, the latter probability cannot be interpreted as the causal effect among live births. Here we provide guidance for researchers interested in the effects of prenatal treatments on events in the offspring in the presence of the competing event "no live birth." We review the total effect of treatment on a composite event and the total effect of treatment on the event of interest. These causal effects are helpful for decision making but are agnostic about the pathways through which treatment affects the event of interest. Therefore, based on recent work, we also review three causal effects that explicitly consider the pathways through which treatment may affect the event of interest in the presence of competing events: the direct effect of treatment on the event of interest under an intervention to eliminate the competing event, the separable direct and indirect effects of treatment on the event of interest, and the effect of treatment in the principal stratum of those who would have had a live birth irrespective of treatment choice. As an illustrative example, we use a randomized trial of fertility treatments and risk of neonatal complications.

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Mesh:

Year:  2020        PMID: 32501812      PMCID: PMC7755108          DOI: 10.1097/EDE.0000000000001222

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.860


  30 in total

1.  Commentary: Weighing up the dead and missing: reflections on inverse-probability weighting and principal stratification to address truncation by death.

Authors:  Basile Chaix; David Evans; Juan Merlo; Etsuji Suzuki
Journal:  Epidemiology       Date:  2012-01       Impact factor: 4.822

2.  Implications of Using a Fetuses-at-Risk Approach When Fetuses Are Not at Risk.

Authors:  Olga Basso
Journal:  Paediatr Perinat Epidemiol       Date:  2016-01       Impact factor: 3.980

3.  A causal framework for classical statistical estimands in failure-time settings with competing events.

Authors:  Jessica G Young; Mats J Stensrud; Eric J Tchetgen Tchetgen; Miguel A Hernán
Journal:  Stat Med       Date:  2020-01-27       Impact factor: 2.373

4.  A simple method for principal strata effects when the outcome has been truncated due to death.

Authors:  Yasutaka Chiba; Tyler J VanderWeele
Journal:  Am J Epidemiol       Date:  2011-02-25       Impact factor: 4.897

Review 5.  Does water kill? A call for less casual causal inferences.

Authors:  Miguel A Hernán
Journal:  Ann Epidemiol       Date:  2016-08-31       Impact factor: 3.797

6.  Assisted reproductive technology in Europe, 2013: results generated from European registers by ESHRE.

Authors:  C Calhaz-Jorge; C De Geyter; M S Kupka; J de Mouzon; K Erb; E Mocanu; T Motrenko; G Scaravelli; C Wyns; V Goossens
Journal:  Hum Reprod       Date:  2017-10-01       Impact factor: 6.918

7.  Effect of maintenance tocolysis with nifedipine in threatened preterm labor on perinatal outcomes: a randomized controlled trial.

Authors:  Carolien Roos; Marc E A Spaanderman; Ewoud Schuit; Kitty W M Bloemenkamp; Antoinette C Bolte; Jérôme Cornette; Johannes J J Duvekot; Jim van Eyck; Maureen T M Franssen; Christianne J de Groot; Joke H Kok; Anneke Kwee; Ashley Merién; Bas Nij Bijvank; Brent C Opmeer; Martijn A Oudijk; Mariëlle G van Pampus; Dimitri N M Papatsonis; Martina M Porath; Hubertina C J Scheepers; Sicco A Scherjon; Krystyna M Sollie; Sylvia M C Vijgen; Christine Willekes; Ben Willem J Mol; Joris A M van der Post; Fred K Lotgering
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

8.  A multicenter, randomized trial of treatment for mild gestational diabetes.

Authors:  Mark B Landon; Catherine Y Spong; Elizabeth Thom; Marshall W Carpenter; Susan M Ramin; Brian Casey; Ronald J Wapner; Michael W Varner; Dwight J Rouse; John M Thorp; Anthony Sciscione; Patrick Catalano; Margaret Harper; George Saade; Kristine Y Lain; Yoram Sorokin; Alan M Peaceman; Jorge E Tolosa; Garland B Anderson
Journal:  N Engl J Med       Date:  2009-10-01       Impact factor: 91.245

9.  Infertility treatments during pregnancy and the risk of autism spectrum disorder in the offspring.

Authors:  Michael Davidovitch; Gabriel Chodick; Varda Shalev; Vered H Eisenberg; Uzi Dan; Abraham Reichenberg; Sven Sandin; Stephen Z Levine
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2018-06-01       Impact factor: 5.067

Review 10.  The fetuses-at-risk approach: survival analysis from a fetal perspective.

Authors:  K S Joseph; Michael S Kramer
Journal:  Acta Obstet Gynecol Scand       Date:  2017-08-29       Impact factor: 3.636

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  6 in total

1.  Effectiveness and safety of intrauterine insemination vs. assisted reproductive technology: emulating a target trial using an observational database of administrative claims.

Authors:  Yu-Han Chiu; Jennifer J Yland; Paolo Rinaudo; John Hsu; Sean McGrath; Sonia Hernández-Díaz; Miguel A Hernán
Journal:  Fertil Steril       Date:  2022-03-16       Impact factor: 7.490

2.  Adherence to Nordic dietary patterns and risk of first-trimester spontaneous abortion.

Authors:  Anne Sofie Dam Laursen; Benjamin Randeris Johannesen; Sydney K Willis; Elizabeth E Hatch; Lauren A Wise; Amelia K Wesselink; Kenneth J Rothman; Henrik Toft Sørensen; Ellen Margrethe Mikkelsen
Journal:  Eur J Nutr       Date:  2022-04-24       Impact factor: 4.865

3.  A potential outcomes approach to defining and estimating gestational age-specific exposure effects during pregnancy.

Authors:  Mireille E Schnitzer; Steve Ferreira Guerra; Cristina Longo; Lucie Blais; Robert W Platt
Journal:  Stat Methods Med Res       Date:  2022-01-05       Impact factor: 3.021

Review 4.  Study design flaws and statistical challenges in evaluating fertility treatments.

Authors:  Jack Wilkinson; Katie Stocking
Journal:  Reprod Fertil       Date:  2021-06-17

5.  Preconception exposures and postconception outcomes: selection bias in action.

Authors:  Kerry S J Flannagan; Sunni L Mumford
Journal:  Fertil Steril       Date:  2020-12       Impact factor: 7.490

6.  The implications of outcome truncation in reproductive medicine RCTs: a simulation platform for trialists and simulation study.

Authors:  Jack Wilkinson; Jonathan Y Huang; Antonia Marsden; Michael O Harhay; Andy Vail; Stephen A Roberts
Journal:  Trials       Date:  2021-08-06       Impact factor: 2.279

  6 in total

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